Pandas Profiling Report

Dataset statistics

Number of variables	12
Number of observations	13393
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	1
Duplicate rows (%)	< 0.1%
Total size in memory	1.2 MiB
Average record size in memory	96.0 B

Variable types

Numeric	10
Categorical	2

Alerts

Dataset has 1 (< 0.1%) duplicate rows	Duplicates
`height_cm` is highly correlated with `weight_kg` and 3 other fields	High correlation
`weight_kg` is highly correlated with `height_cm` and 2 other fields	High correlation
`body fat_%` is highly correlated with `height_cm` and 3 other fields	High correlation
`diastolic` is highly correlated with `systolic`	High correlation
`systolic` is highly correlated with `diastolic`	High correlation
`gripForce` is highly correlated with `height_cm` and 4 other fields	High correlation
`sit-ups counts` is highly correlated with `body fat_%` and 2 other fields	High correlation
`broad jump_cm` is highly correlated with `height_cm` and 4 other fields	High correlation
`age` is highly correlated with `sit-ups counts`	High correlation
`height_cm` is highly correlated with `weight_kg` and 4 other fields	High correlation
`weight_kg` is highly correlated with `height_cm` and 1 other fields	High correlation
`body fat_%` is highly correlated with `height_cm` and 3 other fields	High correlation
`diastolic` is highly correlated with `systolic`	High correlation
`systolic` is highly correlated with `diastolic`	High correlation
`gripForce` is highly correlated with `height_cm` and 4 other fields	High correlation
`sit-ups counts` is highly correlated with `age` and 4 other fields	High correlation
`broad jump_cm` is highly correlated with `height_cm` and 3 other fields	High correlation
`height_cm` is highly correlated with `weight_kg` and 1 other fields	High correlation
`weight_kg` is highly correlated with `height_cm` and 1 other fields	High correlation
`gripForce` is highly correlated with `height_cm` and 2 other fields	High correlation
`sit-ups counts` is highly correlated with `broad jump_cm`	High correlation
`broad jump_cm` is highly correlated with `gripForce` and 1 other fields	High correlation
`age` is highly correlated with `sit-ups counts`	High correlation
`gender` is highly correlated with `height_cm` and 5 other fields	High correlation
`height_cm` is highly correlated with `gender` and 3 other fields	High correlation
`weight_kg` is highly correlated with `gender` and 3 other fields	High correlation
`body fat_%` is highly correlated with `gender` and 1 other fields	High correlation
`diastolic` is highly correlated with `systolic`	High correlation
`systolic` is highly correlated with `diastolic`	High correlation
`gripForce` is highly correlated with `gender` and 4 other fields	High correlation
`sit-ups counts` is highly correlated with `age` and 3 other fields	High correlation
`broad jump_cm` is highly correlated with `gender` and 5 other fields	High correlation
`class` is uniformly distributed	Uniform

Reproduction

Analysis started	2023-02-27 15:51:31.835092
Analysis finished	2023-02-27 15:51:55.866967
Duration	24.03 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

age
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	44
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	36.7751064

Minimum	21
Maximum	64
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	104.8 KiB

Quantile statistics

Minimum	21
5-th percentile	21
Q1	25
median	32
Q3	48
95-th percentile	62
Maximum	64
Range	43
Interquartile range (IQR)	23

Descriptive statistics

Standard deviation	13.62563948
Coefficient of variation (CV)	0.3705125779
Kurtosis	-1.017671491
Mean	36.7751064
Median Absolute Deviation (MAD)	9
Skewness	0.599895536
Sum	492529
Variance	185.6580511
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=44)

Value	Count	Frequency (%)
21	964	7.2%
22	789	5.9%
23	668	5.0%
25	644	4.8%
26	629	4.7%
24	617	4.6%
27	546	4.1%
28	527	3.9%
29	407	3.0%
30	374	2.8%
Other values (34)	7228	54.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
21	964	7.2%
22	789	5.9%
23	668	5.0%
24	617	4.6%
25	644	4.8%
26	629	4.7%
27	546	4.1%
28	527	3.9%
29	407	3.0%
30	374	2.8%

Value	Count	Frequency (%)
64	215	1.6%
63	230	1.7%
62	265	2.0%
61	254	1.9%
60	368	2.7%
59	192	1.4%
58	180	1.3%
57	181	1.4%
56	197	1.5%
55	185	1.4%

gender
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	104.8 KiB

M	8467
F	4926

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	13393
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	M
2nd row	M
3rd row	M
4th row	M
5th row	M

Common Values

Value	Count	Frequency (%)
M	8467	63.2%
F	4926	36.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
m	8467	63.2%
f	4926	36.8%

Most occurring characters

Value	Count	Frequency (%)
M	8467	63.2%
F	4926	36.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	13393	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
M	8467	63.2%
F	4926	36.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	13393	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
M	8467	63.2%
F	4926	36.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13393	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
M	8467	63.2%
F	4926	36.8%

height_cm
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	467
Distinct (%)	3.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	168.5598074

Minimum	125
Maximum	193.8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	104.8 KiB

Quantile statistics

Minimum	125
5-th percentile	154.2
Q1	162.4
median	169.2
Q3	174.8
95-th percentile	181.5
Maximum	193.8
Range	68.8
Interquartile range (IQR)	12.4

Descriptive statistics

Standard deviation	8.426582551
Coefficient of variation (CV)	0.04999164796
Kurtosis	-0.4330534987
Mean	168.5598074
Median Absolute Deviation (MAD)	6.1
Skewness	-0.1868823465
Sum	2257521.5
Variance	71.00729348
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
170	126	0.9%
173	112	0.8%
175	103	0.8%
171	101	0.8%
172	94	0.7%
167	93	0.7%
174	81	0.6%
172.5	81	0.6%
168	79	0.6%
164	78	0.6%
Other values (457)	12445	92.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
125	1	< 0.1%
139.5	1	< 0.1%
139.8	1	< 0.1%
139.9	1	< 0.1%
140.5	1	< 0.1%
141	1	< 0.1%
143.4	1	< 0.1%
143.6	1	< 0.1%
143.7	1	< 0.1%
143.8	1	< 0.1%

Value	Count	Frequency (%)
193.8	1	< 0.1%
192	1	< 0.1%
191.9	1	< 0.1%
191.8	3	< 0.1%
191.7	1	< 0.1%
191.6	1	< 0.1%
191.4	2	< 0.1%
191.3	2	< 0.1%
190.9	2	< 0.1%
190.8	1	< 0.1%

weight_kg
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	1398
Distinct (%)	10.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	67.44731576

Minimum	26.3
Maximum	138.1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	104.8 KiB

Quantile statistics

Minimum	26.3
5-th percentile	49.2
Q1	58.2
median	67.4
Q3	75.3
95-th percentile	87.3
Maximum	138.1
Range	111.8
Interquartile range (IQR)	17.1

Descriptive statistics

Standard deviation	11.94966634
Coefficient of variation (CV)	0.1771703767
Kurtosis	0.1716060599
Mean	67.44731576
Median Absolute Deviation (MAD)	8.54
Skewness	0.3498045915
Sum	903321.9
Variance	142.7945257
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
70.5	53	0.4%
71	51	0.4%
70	51	0.4%
72.3	49	0.4%
66	49	0.4%
73.2	49	0.4%
60.9	49	0.4%
71.8	48	0.4%
74.1	47	0.4%
72.4	47	0.4%
Other values (1388)	12900	96.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
26.3	1	< 0.1%
31.9	1	< 0.1%
33.7	1	< 0.1%
34.4	1	< 0.1%
34.5	1	< 0.1%
35.9	1	< 0.1%
36.5	1	< 0.1%
37.3	1	< 0.1%
37.4	2	< 0.1%
38.1	4	< 0.1%

Value	Count	Frequency (%)
138.1	1	< 0.1%
135.78	1	< 0.1%
125.7	1	< 0.1%
123	1	< 0.1%
119.8	1	< 0.1%
119.6	1	< 0.1%
118.8	1	< 0.1%
118.6	1	< 0.1%
117.5	1	< 0.1%
117.4	1	< 0.1%

body fat_%
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	527
Distinct (%)	3.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	23.24016495

Minimum	3
Maximum	78.4
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	104.8 KiB

Quantile statistics

Minimum	3
5-th percentile	12.1
Q1	18
median	22.8
Q3	28
95-th percentile	35.74
Maximum	78.4
Range	75.4
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	7.25684408
Coefficient of variation (CV)	0.3122544137
Kurtosis	0.1287121896
Mean	23.24016495
Median Absolute Deviation (MAD)	5
Skewness	0.3611322492
Sum	311255.5292
Variance	52.661786
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
23.1	90	0.7%
20.2	87	0.6%
22.8	87	0.6%
24.5	87	0.6%
20.3	85	0.6%
25.9	83	0.6%
20.5	82	0.6%
24.7	80	0.6%
18.2	80	0.6%
21.2	79	0.6%
Other values (517)	12553	93.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3	2	< 0.1%
3.5	3	< 0.1%
4	1	< 0.1%
4.5	1	< 0.1%
4.7	1	< 0.1%
4.9	3	< 0.1%
5	1	< 0.1%
5.5	3	< 0.1%
5.6	1	< 0.1%
5.8	2	< 0.1%

Value	Count	Frequency (%)
78.4	1	< 0.1%
54.9	1	< 0.1%
53.5	1	< 0.1%
50.6	1	< 0.1%
50.3	1	< 0.1%
50.2	1	< 0.1%
49.8	1	< 0.1%
49.3	1	< 0.1%
49.2	1	< 0.1%
48.9	1	< 0.1%

diastolic
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	89
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	78.79684163

Minimum	0
Maximum	156.2
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	104.8 KiB

Quantile statistics

Minimum	0
5-th percentile	61
Q1	71
median	79
Q3	86
95-th percentile	96
Maximum	156.2
Range	156.2
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	10.7420331
Coefficient of variation (CV)	0.136325681
Kurtosis	0.3635245366
Mean	78.79684163
Median Absolute Deviation (MAD)	8
Skewness	-0.159637171
Sum	1055326.1
Variance	115.3912751
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
80	670	5.0%
77	482	3.6%
75	475	3.5%
78	474	3.5%
81	464	3.5%
79	460	3.4%
83	448	3.3%
82	445	3.3%
76	428	3.2%
74	420	3.1%
Other values (79)	8627	64.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
6	1	< 0.1%
8	1	< 0.1%
30	1	< 0.1%
37	1	< 0.1%
40	1	< 0.1%
41	2	< 0.1%
42	6	< 0.1%
43	2	< 0.1%
44	3	< 0.1%

Value	Count	Frequency (%)
156.2	1	< 0.1%
126	1	< 0.1%
121	1	< 0.1%
120	1	< 0.1%
118	1	< 0.1%
117	1	< 0.1%
115	1	< 0.1%
113	1	< 0.1%
112	3	< 0.1%
111	1	< 0.1%

systolic
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	102
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	130.2348167

Minimum	0
Maximum	201
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	104.8 KiB

Quantile statistics

Minimum	0
5-th percentile	106
Q1	120
median	130
Q3	141
95-th percentile	155
Maximum	201
Range	201
Interquartile range (IQR)	21

Descriptive statistics

Standard deviation	14.71395352
Coefficient of variation (CV)	0.1129801838
Kurtosis	0.3802848389
Mean	130.2348167
Median Absolute Deviation (MAD)	10
Skewness	-0.04865360959
Sum	1744234.9
Variance	216.5004282
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
120	515	3.8%
130	416	3.1%
123	404	3.0%
134	335	2.5%
128	320	2.4%
118	319	2.4%
132	314	2.3%
125	314	2.3%
129	310	2.3%
122	310	2.3%
Other values (92)	9836	73.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
14	1	< 0.1%
43.9	1	< 0.1%
77	1	< 0.1%
82	1	< 0.1%
84	1	< 0.1%
86	3	< 0.1%
88	2	< 0.1%
89	2	< 0.1%
90	2	< 0.1%

Value	Count	Frequency (%)
201	1	< 0.1%
195	1	< 0.1%
193	2	< 0.1%
191	1	< 0.1%
188	1	< 0.1%
187	1	< 0.1%
186	1	< 0.1%
184	1	< 0.1%
181	3	< 0.1%
180	1	< 0.1%

gripForce
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	550
Distinct (%)	4.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	36.9638774

Minimum	0
Maximum	70.5
Zeros	3
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	104.8 KiB

Quantile statistics

Minimum	0
5-th percentile	20.9
Q1	27.5
median	37.9
Q3	45.2
95-th percentile	53.5
Maximum	70.5
Range	70.5
Interquartile range (IQR)	17.7

Descriptive statistics

Standard deviation	10.62486403
Coefficient of variation (CV)	0.2874391102
Kurtosis	-0.8222001688
Mean	36.9638774
Median Absolute Deviation (MAD)	8.7
Skewness	0.01845649338
Sum	495057.21
Variance	112.8877356
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
43.1	71	0.5%
43.9	67	0.5%
40.6	59	0.4%
40.1	58	0.4%
40.3	58	0.4%
39.3	58	0.4%
25.4	58	0.4%
27.5	57	0.4%
43.5	57	0.4%
44.5	57	0.4%
Other values (540)	12793	95.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3	< 0.1%
1.6	1	< 0.1%
2.1	1	< 0.1%
3.5	1	< 0.1%
4.4	1	< 0.1%
5.3	1	< 0.1%
6.7	1	< 0.1%
7.9	1	< 0.1%
8.6	1	< 0.1%
9.1	1	< 0.1%

Value	Count	Frequency (%)
70.5	1	< 0.1%
70.4	1	< 0.1%
69.9	1	< 0.1%
69	1	< 0.1%
68.4	1	< 0.1%
67.6	1	< 0.1%
67.1	2	< 0.1%
66.8	1	< 0.1%
66	1	< 0.1%
65.8	1	< 0.1%

sit and bend forward_cm
Real number (ℝ)

Distinct	528
Distinct (%)	3.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.20926827

Minimum	-25
Maximum	213
Zeros	12
Zeros (%)	0.1%
Negative	642
Negative (%)	4.8%
Memory size	104.8 KiB

Quantile statistics

Minimum	-25
5-th percentile	0.2
Q1	10.9
median	16.2
Q3	20.7
95-th percentile	26.54
Maximum	213
Range	238
Interquartile range (IQR)	9.8

Descriptive statistics

Standard deviation	8.456677009
Coefficient of variation (CV)	0.5560212928
Kurtosis	35.22085641
Mean	15.20926827
Median Absolute Deviation (MAD)	4.9
Skewness	0.7854920085
Sum	203697.73
Variance	71.51538604
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20	119	0.9%
18.5	102	0.8%
16	102	0.8%
19	100	0.7%
17	99	0.7%
15	98	0.7%
21	95	0.7%
14	92	0.7%
22	89	0.7%
18	87	0.6%
Other values (518)	12410	92.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-25	1	< 0.1%
-22	1	< 0.1%
-20	10	0.1%
-19.9	2	< 0.1%
-19.7	1	< 0.1%
-19	2	< 0.1%
-18.9	1	< 0.1%
-18.7	1	< 0.1%
-18.4	1	< 0.1%
-18	1	< 0.1%

Value	Count	Frequency (%)
213	1	< 0.1%
185	1	< 0.1%
42	1	< 0.1%
40	2	< 0.1%
37	1	< 0.1%
35.2	5	< 0.1%
35	1	< 0.1%
34.8	2	< 0.1%
34.7	1	< 0.1%
34.6	2	< 0.1%

sit-ups counts
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	81
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	39.77122377

Minimum	0
Maximum	80
Zeros	125
Zeros (%)	0.9%
Negative	0
Negative (%)	0.0%
Memory size	104.8 KiB

Quantile statistics

Minimum	0
5-th percentile	14
Q1	30
median	41
Q3	50
95-th percentile	60
Maximum	80
Range	80
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	14.27669833
Coefficient of variation (CV)	0.3589705564
Kurtosis	-0.1563258628
Mean	39.77122377
Median Absolute Deviation (MAD)	10
Skewness	-0.4678298773
Sum	532656
Variance	203.8241151
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
45	416	3.1%
40	394	2.9%
50	393	2.9%
46	383	2.9%
47	369	2.8%
48	368	2.7%
44	367	2.7%
43	365	2.7%
51	362	2.7%
42	347	2.6%
Other values (71)	9629	71.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	125	0.9%
1	18	0.1%
2	31	0.2%
3	23	0.2%
4	28	0.2%
4.6	1	< 0.1%
5	29	0.2%
6	28	0.2%
7	36	0.3%
8	34	0.3%

Value	Count	Frequency (%)
80	1	< 0.1%
78	2	< 0.1%
76	4	< 0.1%
75	4	< 0.1%
74	4	< 0.1%
73	2	< 0.1%
72	3	< 0.1%
71	15	0.1%
70	11	0.1%
69	19	0.1%

broad jump_cm
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	245
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	190.1296274

Minimum	0
Maximum	303
Zeros	10
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	104.8 KiB

Quantile statistics

Minimum	0
5-th percentile	121
Q1	162
median	193
Q3	221
95-th percentile	247
Maximum	303
Range	303
Interquartile range (IQR)	59

Descriptive statistics

Standard deviation	39.86800013
Coefficient of variation (CV)	0.2096885197
Kurtosis	0.002396501773
Mean	190.1296274
Median Absolute Deviation (MAD)	29
Skewness	-0.422622556
Sum	2546406.1
Variance	1589.457435
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
211	181	1.4%
220	176	1.3%
230	172	1.3%
180	161	1.2%
200	157	1.2%
215	144	1.1%
170	140	1.0%
185	140	1.0%
222	139	1.0%
226	139	1.0%
Other values (235)	11844	88.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	10	0.1%
20	1	< 0.1%
35	1	< 0.1%
40	1	< 0.1%
43	1	< 0.1%
45	1	< 0.1%
47	1	< 0.1%
49	1	< 0.1%
50	2	< 0.1%
51	2	< 0.1%

Value	Count	Frequency (%)
303	1	< 0.1%
299	1	< 0.1%
295	2	< 0.1%
294	1	< 0.1%
293	1	< 0.1%
290	2	< 0.1%
288	1	< 0.1%
286	2	< 0.1%
285	3	< 0.1%
284	1	< 0.1%

class
Categorical

UNIFORM

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	104.8 KiB

D	3349
C	3349
A	3348
B	3347

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	13393
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	C
2nd row	A
3rd row	C
4th row	B
5th row	B

Common Values

Value	Count	Frequency (%)
D	3349	25.0%
C	3349	25.0%
A	3348	25.0%
B	3347	25.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
c	3349	25.0%
d	3349	25.0%
a	3348	25.0%
b	3347	25.0%

Most occurring characters

Value	Count	Frequency (%)
C	3349	25.0%
D	3349	25.0%
A	3348	25.0%
B	3347	25.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	13393	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
C	3349	25.0%
D	3349	25.0%
A	3348	25.0%
B	3347	25.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	13393	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
C	3349	25.0%
D	3349	25.0%
A	3348	25.0%
B	3347	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13393	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
C	3349	25.0%
D	3349	25.0%
A	3348	25.0%
B	3347	25.0%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	age	gender	height_cm	weight_kg	body fat_%	diastolic	systolic	gripForce	sit and bend forward_cm	sit-ups counts	broad jump_cm	class
0	27.0	M	172.3	75.24	21.3	80.0	130.0	54.9	18.4	60.0	217.0	C
1	25.0	M	165.0	55.80	15.7	77.0	126.0	36.4	16.3	53.0	229.0	A
2	31.0	M	179.6	78.00	20.1	92.0	152.0	44.8	12.0	49.0	181.0	C
3	32.0	M	174.5	71.10	18.4	76.0	147.0	41.4	15.2	53.0	219.0	B
4	28.0	M	173.8	67.70	17.1	70.0	127.0	43.5	27.1	45.0	217.0	B
5	36.0	F	165.4	55.40	22.0	64.0	119.0	23.8	21.0	27.0	153.0	B
6	42.0	F	164.5	63.70	32.2	72.0	135.0	22.7	0.8	18.0	146.0	D
7	33.0	M	174.9	77.20	36.9	84.0	137.0	45.9	12.3	42.0	234.0	B
8	54.0	M	166.8	67.50	27.6	85.0	165.0	40.4	18.6	34.0	148.0	C
9	28.0	M	185.0	84.60	14.4	81.0	156.0	57.9	12.1	55.0	213.0	B

Last rows

	age	gender	height_cm	weight_kg	body fat_%	diastolic	systolic	gripForce	sit and bend forward_cm	sit-ups counts	broad jump_cm	class
13383	25.0	M	170.7	68.86	13.3	60.0	106.0	39.2	14.1	51.0	235.0	B
13384	64.0	F	152.4	55.90	33.1	87.0	158.0	23.5	20.0	14.0	154.0	B
13385	37.0	M	177.5	83.10	29.7	77.0	113.0	41.7	7.2	41.0	167.0	D
13386	62.0	F	156.2	40.00	20.2	61.0	115.0	18.5	5.7	1.0	81.0	D
13387	39.0	M	174.4	70.80	24.3	78.0	132.0	41.6	12.0	44.0	168.0	B
13388	25.0	M	172.1	71.80	16.2	74.0	141.0	35.8	17.4	47.0	198.0	C
13389	21.0	M	179.7	63.90	12.1	74.0	128.0	33.0	1.1	48.0	167.0	D
13390	39.0	M	177.2	80.50	20.1	78.0	132.0	63.5	16.4	45.0	229.0	A
13391	64.0	F	146.1	57.70	40.4	68.0	121.0	19.3	9.2	0.0	75.0	D
13392	34.0	M	164.0	66.10	19.5	82.0	150.0	35.9	7.1	51.0	180.0	C

Most frequently occurring

	age	gender	height_cm	weight_kg	body fat_%	diastolic	systolic	gripForce	sit and bend forward_cm	sit-ups counts	broad jump_cm	class	# duplicates
0	27.0	F	157.0	49.1	30.7	70.0	86.0	27.7	19.7	51.0	167.0	A	2

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Spearman's ρ

Pearson's r

Kendall's τ

Cramér's V (φc)

Phik (φk)

Missing values

Sample

First rows

Last rows

Duplicate rows

Most frequently occurring